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Innovation in Tech Transfer Federal Laboratory Consortium Mid-Atlantic Meeting – Rocky Gap September 16, 2008
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Leverage the Chesapeake Crescent region- unique mixture of assets Natural resources Largest customer in world World class universities Skilled workforce National policy center Concentration of federal labs If properly applied- a global leader in life science, energy and national security Chesapeake Crescent Initiative
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Interview Process Regional Strengths and Weaknesses Strengths- concentration of R&D expertise and $$’s Weaknesses- commercialization resources missing Best Practices to address Regional Status
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Venture Capital Investment in Seed/Startups 2007 Venture Capital (millions) 2004 R&D funding (millions) VC Seed + startup investments (millions) % of National VC investment in seed/startups Ratio of VC capital to R&D Funding Ratio of VC seed + startup investment to CCR California $ 12,055 $ 18,041 $ 53545.4% 67% 12 Chesapeake Crescent Region $ 1,242 $ 18,454 $ 463.9% 7% 1 Massachusetts $ 3,489 $ 5,324 $ 1159.8% 66% 9 North Carolina $ 577 $ 1,677 $ 484.1% 34% 11 Texas $ 1,416 $ 5,025 $ 312.6% 28% 2 Source: MoneyTree Report by PricewaterhouseCoopers and the National Venture Capital Association
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2006 Research Revenue Rankings University Only State Revenue Ranking Patents to Revenue Ranking Start ups to Revenue Ranking California1316 Massachusetts21020 Chesapeake Crescent31937 Texas51433 North Carolina91319 Source: AUTM Licensing Survey Results by State, 2006
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X-Prizes Embedded Entrepreneurs in Residence Rapid Prototyping Tech Scouting Innovation in Tech Transfer
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Northrop Grumman Lunar Lander Challenge Ultimate Fuel Economy Challenge Ansari X PRIZE American Security Challenge DARPA Urban Challenge X-Prizes
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Carnegie Mellon University (SRI, MIT, DOE) match Serial Entrepreneur with appropriate innovation standardized terms (timeframe, no-shop, field of use, consideration) embed Serial Entrepreneur with research team complete due diligence (G2M, cap plan, etc) win-win at end of term either way Embedded E-I-R Programs
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Identify scope Identify “pain” Technology needs and requirements Test data Success metrics Scout Broadcast needs Shadow scenario Collect data online Filter Second phase screen with customer Final four Rapid Prototyping
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Data mining and visualization 45 days- found 125 companies 15 days- second phase top 15 15 days- bake-off with top 7 60 days- prototype Graph database 60 days- found 55 companies 30 days- second phase top 10 15 days- bake-off with top 4 30 days- final due diligence with no-go decision Rapid Prototyping Examples
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Tech Scouting Clients
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Tech Scouting Process Client X
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Informatics data fusion data mining info assurance visualization authentication Advanced Tech C4ISR hi-speed computing CBRNE-WMD-IED energy/power systems self organizing networks Tech Scouting Shopping List NOTE: FOR ILLUSTRATIVE PURPOSES ONLY, NOT TRUE REPRESENTATION
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Tech Scouting Technology Sources NOTE: FOR ILLUSTRATIVE PURPOSES ONLY, NOT TRUE REPRESENTATION Incubators Federal Labs University Labs VC’s and Angels
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Tech Scouting Screening Media Embassies Incubators VC’sUniversity Labs Fed Labs ESQ’s Angels CPA’s
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Media Embassies Incubators VC’sUniversity Labs Fed Labs ESQ’s Angels CPA’s Shopping List LBT Biometrics CBRNE UAV Early Stage $$ Financial or Development Status Customer Tech Scouting Process
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Roger London Innovation Economy Program Director Chesapeake Crescent 410-340-5335 RLondonMD@gmail.com Thank You
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